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How to Write a Methodology Chapter (APA 7th Edition)?

Published by at December 28th, 2021 , Revised On April 7, 2026

The methodology chapter provides readers with a transparent and replicable account of how you conducted your research, why certain decisions were made, and which tools or procedures supported your study. 

According to the APA guidelines, one should provide a detailed narrative that explains the research process in a clear, systematic manner. 

Whether you are conducting quantitative, qualitative, or mixed-method research, a strong methodology chapter helps establish the credibility, validity, and reliability of your study. 

How to Structure Your Methodology Chapter?

According to APA formatting rules, the primary heading “Methods” should appear: 

  • Centred
  • Boldfaced
  • In Title Case

Subheadings within the Methods section should be: 

  • Left-aligned
  • Boldfaced
  • In Title Case. 

Within these subsections, you can also use lower-level headers as long as they follow APA heading conventions. 

Use these subheadings: 

  1. Participants 
  2. Materials 
  3. Procedures

While these titles aren’t required exactly in APA, instead, use subheadings that make sense for your particular study to structure your methods section.

What are the subheadings in a methodology chapter?

Participants, materials, and procedures are the common headings in the methodology chapter of a dissertation, thesis, or research paper. 

Participants and their characteristics

In APA style, terms like participants, subjects, and respondents are acceptable when referring to individuals who take part in the research. 

  • “Participants” is preferred for human research. 
  • “Subjects” is best used for studies involving animals.

What to include?

Be sure to list all essential demographic data of your participants, such as: 

  • Age
  • Gender identity
  • Ethnicity or race,
  • Education level 
  • Income
  • Language proficiency
  • Immigrant or residency status 
  • Disability accommodations (if relevant)

Describe these features as accurately as possible. This allows the reader to see how broadly your findings may be applied to other persons.

What kind of language does APA promote? 

The APA rules promote the use of bias-free terminology when writing about participants; therefore, inclusive and acceptable phrases are required.

  • Example: A total of 134 students aged 18 to 25 from a London university took part in the study. All participants were right-handed and native English speakers.

Procedure of sampling: 

Sampling determines how participants were selected and the criteria used for inclusion and exclusion. This section must provide enough details for another researcher to replicate your process. 

This is what you need to describe: 

  • Inclusion and exclusion criteria
  • Sampling method (random, convenience, stratified, cluster, etc.)
  • Recruitment strategy (email, flyers, social media, etc.)
  • Response rate (how many invited vs. how many agreed)
  • Whether participants self-selected or were institution-selected
  • Compensation or incentives
  • Ethical approval and IRB clearance

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EXAMPLE

Before we could start recruiting participants, we had to get ethical approval. All participants must be English natives. The study requirements were posted via general emails to university-wide mailing lists, on social media, and in brochures distributed on campus. Participants were randomly selected from eligible respondents and offered compensation for their participation.

Sample size: 

Your methodology should specify the intended sample size, power analysis, and final number of participants. 

Include: 

  • The statistical power that you aimed for
  • The expected effect size 
  • The significance level (α)
  • Any power calculations conducted
  • Differences between planned and actual samples

Demonstrating statistical power shows that your study had enough participants to detect meaningful effects.

EXAMPLE

For this particular study, to achieve 80% power to detect an effect of 20%, with a significance level of .05, 60 participants were required in the two conditions. The final sample must fulfil these requirements.

Material

This section contains the tools, instruments, or technologies used to measure variables in your study. 

Primary and secondary measures:

Clearly define: 

  • Primary outcomes (linked to your main research questions)
  • Secondary outcomes (supporting or additional variables) 

Here are some tips that you can follow: 

Tip 1: Identify any devices used to collect these measurements and the construct they measure. Hardware, software, tests, scales and inventories are examples of these devices.

Tip 2: Include the model number and manufacturer when citing hardware.

Tip 3: If you cite common software, give the full name, version number and website URL.

Tip 4: Refer to the manual or article in which the test, scale or inventory was published to cite it. It is also a good idea to mention the quantity of things and give one or two examples.

Tip 5: In terms of internal consistency or test-retest reliability, dependability refers to how consistently a technique assesses something.

Tip 6: In terms of construct or criterion validity, validity refers to how accurately a technique assesses something.

Procedure

The procedure section provides a step-by-step narrative of how the study was carried out. 

Methods of data collection:

Your methodology should describe exactly how you gathered your data. Common data collection tools include: 

  • Surveys
  • Interviews
  • Observations
  • Focus groups
  • Observations 
  • Computer-based tasks
  • Psychological recordings
  • Imaging equipment

Explain in detail how you are going to collect the data. Describe in adequate length all procedures you used to conduct surveys, tests, physical recordings or imaging equipment so that others can understand your methods.

If your procedures are particularly complex and require detailed descriptions, you should include these in the supplementary materials.

Specify any masking that was used to keep the assignment of conditions secret from participants. Masking ensures internal validity in a multi-group study by eliminating bias. Explain how masking was implemented and whether its effectiveness was tested.

Filtration of the collected data:

After collecting data, describe how you cleaned, screened, and prepared it for analysis

Here are some common data filtration methods: 

  • Techniques for finding and eliminating outliers
  • Normalising distributions through data transformations
  • Using compensation mechanisms to compensate for missing values (imputation, listwise deletion)
  • Checking for internal consistency
  • Ensuring assumptions for statistical tests are met

You should provide enough explanation so that the reader can understand how and why you processed or changed your raw data in exactly this way to achieve high validity. You should also discuss your statistical analysis methods in the methods section; their findings are presented in the “Results” section. 

Frequently Asked Questions

To write the Methodology chapter in APA referencing style, include a clear description of your research design, participant details, sampling procedures, materials, data collection methods, and analysis techniques. 

Use in-text citations in the author-date format (e.g., Smith, 2020) and create a reference list alphabetised by the author’s last name.

The primary heading “Methods” must be centred, bold, and in title case. Subheadings, such as participants, materials, and procedure, should be left-aligned, bold, and in title case.

You should include demographic characteristics (e.g., gender, ethnicity, and education), as well as the recruitment method, inclusion/exclusion criteria, and ethical considerations. APA 7 requires the use of bias-free, inclusive language. 

Your data collection process should be described in enough detail for another researcher to replicate the study. Include tools used, instructions given, environment setup, timing, and any masking or randomisation procedures.

Yes. If you use established scales, tests, or devices, you must report their reliability (Cronbach’s alpha) and validity (construct, criterion). This demonstrates that your measurements are trustworthy. 

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